IEEE Transactions on Cognitive Communications and Networking

Papers
(The H4-Index of IEEE Transactions on Cognitive Communications and Networking is 45. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Three-Dimensional Resource Matching for Internet of Things Underlaying Cognitive Capacity Harvesting Networks167
Accurate Automatic Extraction of Signal Components From Noisy Radio Spectrograms129
A Deep Learning Method for Open-Set Transmission Mode Recognition Based on Multiresolution Time-Frequency Spectrograms128
IEEE Communications Society Information118
Ambient IoT: Backscatter-Based Connectivity Topologies and Outage Behavior100
A Reinforcement Learning-Assisted OFDM-IM Communication System Against Reactive Jammers97
IEEE Communications Society Information90
Coded Caching for Reliable Map Dissemination in Symbiotic Communication Aided Emergency UAV Systems89
Incentive-Driven and Energy Efficient Federated Learning in Mobile Edge Networks89
Security Outage Probability Analysis of Cognitive Networks With Multiple Eavesdroppers for Industrial Internet of Things85
Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication71
Detection of Direct Sequence Spread Spectrum Signals Based on Deep Learning71
Priority-Aware Deployment of Autoscaling Service Function Chains Based on Deep Reinforcement Learning70
Deep Learning-Aided Signal Detection for Two-Stage Index Modulated Universal Filtered Multi-Carrier Systems70
Multi-Agent Reinforcement Learning-Based Joint Caching and Routing in Heterogeneous Networks69
Secure Performance of RIS-Aided NOMA in Cognitive V2X Networks With Imperfect CSI Over Double Rayleigh Fading68
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach Using Empirical Data67
A Novel Privacy-Preserving Incentive Mechanism for Multi-Access Edge Computing66
A Reinforcement Learning-Based Incentive Scheme for Multi-Hop Communications in Vehicular Networks63
Learning-Based Real-Time Transmission Control for Multi-Path TCP Networks62
Blockchain-Based Collaborative Task Offloading Algorithm in Heterogeneous Edge Computing Networks61
MADQN-Enhanced Computation Offloading and Resource Allocation for 6G Low-Altitude Economy Vehicular Networks61
Accelerating Federated Learning for Edge Intelligence Using Conjugated Central Acceleration With Inexact Global Line Search59
Precoding Optimization for MIMO-OFDM Integrated Sensing and Communication Systems59
pFedDHPO: A Differentiable Approach for Personalized Hyperparameter Optimization in Federated Learning58
Maximizing Reliability in Overlay Radio Networks With Time Switching and Power Splitting Energy Harvesting58
Deep Learning-Driven MA-RIS Co-Design for Near-Field ISAC: Joint Antenna Positioning, Phase Shifting and Beamforming Optimization57
Safe Online Mobile Network Optimization Through Digital Twin-Enhanced Monte Carlo Tree Search56
IRS-Assisted Spectrum Sensing and Primary-Secondary Transmission for Cognitive Radio Networks56
Active Learning for Network Traffic Classification: A Technical Study55
LINA: A Fair Link-Grained Inter-Datacenter Traffic Scheduling Method With Deadline Guarantee55
Energy Efficient Power Control for Cognitive Multibeam-Satellite Terrestrial Networks With Poisson Distributed Users54
IEEE Transactions on Cognitive Communications and Networking Publication Information52
STBC: A Novel Blockchain-Based Spectrum Trading Solution50
IEEE Communications Society50
Spectrum Sensing Based on Graph Fourier Transform Using Laplacian Matrix and Vertex Probability Vector50
A Heterogeneous-Agent Deep Reinforcement Learning Approach for Dynamic Spectrum Access in Cognitive Wireless Networks48
Spatial-Frequency Block Coding Automatic Recognition With Non-Gaussian Interference for Cognitive MIMO-OFDM Systems48
A Robust Adaptive High-Precision Entangled Photons-Based Ranging System47
Learning to Predict: Collaborative Cloud-Edge Multi-Time-Scale Attention Model for Industrial Wireless Channel Prediction46
Effective Non-Gaussian Noise Removal of 3D Radio Maps through Correntropy-based Nonlocal Tensor Ring Decomposition46
Dual Intelligence: Leveraging DRL with Smart Satellites to Counter Intelligent Jamming in Satellite Networks45
A Robust STAR-RIS-Assisted MU-MIMO System for Integrated Sensing and Communications45
Multi-Stage Semantic Communication for Low-Latency Edge Inference45
IEEE Communications Society Information45
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